1 to 10 of 21 Results
Jul 19, 2022 - Prof. Rohini Kuner's lab
Oswald, Manfred Josef; Han, Yechao; Kuner, Rohini, 2022, "A novel role for the cholinergic basal forebrain nucleus of Meynert in chronic pain via modulation of the prelimbic cortex", https://doi.org/10.11588/data/ET9G9X, heiDATA, V1
This dataset contains all raw electrophysiology data and associated analysis procedures reported in Oswald et al. Cholinergic basal forebrain nucleus of Meynert regulates chronic pain-like behaviour via modulation of the prelimbic cortex. Nat Comm (2022). Abstract: The basal nucl... |
Feb 25, 2022 - Division of Infectious Disease and Tropical Medicine
Brümmer, Lukas E.; Katzenschlager, Stephan; McGrath, Sean; Schmitz, Stephani; Gaeddert, Mary; Erdmann, Christian; Bota, Marc; Grilli, Maurizio; Larmann, Jan; Weigand, Markus A.; Pollock, Nira R.; Macé, Aurélien; Erkosar, Berra; Carmona, Sergio; Sacks, Jilian A.; Ongarello, Stefano; Denkinger, Claudia M., 2022, "Accuracy of rapid point-of-care antigen-based diagnostics for SARS-CoV-2: an updated systematic review and meta-analysis with meta regression analyzing influencing factors [Research Data]", https://doi.org/10.11588/data/T3MIB0, heiDATA, V1
Background Comprehensive information about the accuracy of antigen rapid diagnostic tests (Ag-RDTs) for SARS-CoV-2 is essential to guide public health decision makers in choosing the best tests and testing policies. In August 2021, we published a systematic review and meta-analys... |
Sep 22, 2022 - Bothlab
Hodapp, Alexander; Kaiser, Martin E.; Thome, Christian; Ding, Lingjun; Rozov, Andrei; Klumpp, Matthias; Stevens, Nikolas; Stingl, Moritz; Sackmann, Tina; Lehmann, Nadja; Draguhn, Andreas; Burgalossi, Andrea; Engelhardt, Maren; Both, Martin, 2022, "Activity of AcD and nonAcD cells during high-frequency network oscillations [data]", https://doi.org/10.11588/data/JWLFFZ, heiDATA, V1, UNF:6:IbIOEy1OPRgP05Qd2QIN4w== [fileUNF]
Information processing in neuronal networks involves the recruitment of selected neurons into coordinated spatiotemporal activity patterns. This sparse activation results from widespread synaptic inhibition in conjunction with neuron-specific synaptic excitation. We report the se... |
Weis, Cleo-Aron, 2022, "Assessment of glomerular morphological patterns by deep learning algorithms [Research Data]", https://doi.org/10.11588/data/JWZ2CK, heiDATA, V1
Test data and models to the paper "Assessment of glomerular morphological patterns by deep learning algorithms". Different, from other groups, defined CNN-models (saved as .pt-files) are trained to identify nine predefined patterns of glomerular changes. The models are: AlexNet [... |
Dec 20, 2023 - NLU anonymized
Christoph Dieterich, 2022, "CARDIO:DE [V1.01]", https://doi.org/10.11588/data/AFYQDY, heiDATA, V7
Version information CARDIO:DE 1.01 Resolved minor annotation bugs Updated TSV format (importable to INCEpTION release > 29.7) Added UIMA CAS corpus version Added annotation layer information files for INCEpTION import ( cardiode_[exp]_dependencies_inception.zip) Abstract: We pres... |
Jun 23, 2022 - Translational Health Economics
Jevdjevic, Milica; Listl, Stefan, 2022, "Economic impacts of oral diseases in 2019 - data for 194 countries", https://doi.org/10.11588/data/JGJKK0, heiDATA, V1, UNF:6:vnazrLSpgQXypPHGj+JjLQ== [fileUNF]
Data for the global, regional, and country-level economic impacts of oral diseases in 2019. Methodology is based on: (1) Listl S, Galloway J, Mossey PA, Marcenes W. Global Economic Impact of Dental Diseases. J Dent Res. 2015;94:1355-61. (2) Righolt AJ, Jevdjevic M, Marcenes W, Li... |
Mar 29, 2022 - Theoretical Physics
Li, Kunhe; Oiwa, Nestor N.; Mishra, Sujeet K.; Heermann, Dieter W., 2022, "Inter-Nucleosomal Potentials from Nucleosomal Positioning Data [Research Data]", https://doi.org/10.11588/data/H3KPEU, heiDATA, V1
This dataset accompanies the paper "Inter-Nucleosomal Potentials from Nucleosomal Positioning Data." In this paper, a systematic method to develop inter-nucleosomal potentials between nucleosomes along a chromosome is focused. To this purpose, a modified Lennard-Jones potential i... |
May 30, 2022 - AG Lindner - Experimental Anesthesiology
Lindner, Holger, 2022, "Key Signature Genes of Early Terminal Granulocytic Differentiation Distinguish Sepsis from SIRS on ICU Admission", https://doi.org/10.11588/data/EIXOPN, heiDATA, V1, UNF:6:ZU8BBGGans0NwnKgxMjy8w== [fileUNF]
Background: Infection can induce granulopoiesis. This process potentially gives rise to blood gene classifiers of sepsis in systemic inflammatory response syndrome (SIRS) patients. The aim of this study was to identify sepsis signature genes in blood granulocytes from patients wi... |
Aug 23, 2022 - Institute of Medical Psychology
Hopf, Dora; Schneider, Ekaterina; Ditzen, Beate; Eckstein, Monika, 2022, "Loneliness and diurnal cortisol levels during COVID-19 lockdown: the roles of living situation, relationship status and relationship quality [Research Data]", https://doi.org/10.11588/data/SYVQMM, heiDATA, V1, UNF:6:ASynYjAnlwnyKYrcI2WbFg== [fileUNF]
These data accompany the manuscript "Loneliness and diurnal cortisol levels during COVID-19 lockdown: the roles of living situation, relationship status and relationship quality". Abstract: Loneliness and social isolation have become increasing concerns during COVID-19 lockdown t... |
Jun 22, 2022 - Computer Assisted Clinical Medicine
Zöllner, Frank, 2022, "Multimodal ground truth datasets for abdominal medical image registration [data]", https://doi.org/10.11588/data/ICSFUS, heiDATA, V1
Sparsity of annotated data is a major limitation in medical image processing tasks such as registration. Registered multimodal image data are essential for the diagnosis of medical conditions and the success of interventional medical procedures. To overcome the shortage of data,... |
